Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus

MOTIVATION: Influenza virus antigenic variants continue to emerge and cause disease outbreaks. Time-consuming, costly and middle-throughput serologic methods using virus isolates are routinely used to identify influenza antigenic variants for vaccine strain selection. However, the resulting data are...

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Vydáno v:Bioinformatics
Hlavní autoři: Han, Lei, Li, Lei, Wen, Feng, Zhong, Lei, Zhang, Tong, Wan, Xiu-Feng
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2019
Témata:
Original Papers
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6298058/
https://ncbi.nlm.nih.gov/pubmed/29878046
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty457
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